模型:
muchad/idt5-qa-qg
在 30% 的数据上,fine-tuned 了 mT5 的印度尼西亚版本,用于问题生成和问题回答任务。
!pip install transformers==4.4.2 !pip install sentencepiece==0.1.95 !git clone https://github.com/muchad/qaqg.git %cd qaqg/
from pipeline_qg import pipeline #pipeline_qg.py script in the cloned repo qg = pipeline() #sample qg("Raja Purnawarman mulai memerintah Kerajaan Tarumanegara pada tahun 395 M.") #output => [{'answer': 'Raja Purnawarman','question': 'Siapa yang memerintah Kerajaan Tarumanegara?'}, {'answer': '395 M','question': 'Kapan Raja Purnawarman memerintah Kerajaan Tarumanegara?'}]问题回答
from pipeline_qa import pipeline #pipeline_qa.py script in the cloned repo qa = pipeline() #sample qa({"context":"Raja Purnawarman mulai memerintah Kerajaan Tarumanegara pada tahun 395 M.","question":"Siapa pemimpin Kerajaan Tarumanegara?"}) #output => Raja Purnawarman引用
论文: idT5: Indonesian Version of Multilingual T5 Transformer
@misc{https://doi.org/10.48550/arxiv.2302.00856, doi = {10.48550/ARXIV.2302.00856}, url = {https://arxiv.org/abs/2302.00856}, author = {Fuadi, Mukhlish and Wibawa, Adhi Dharma and Sumpeno, Surya}, keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences, I.2.7}, title = {idT5: Indonesian Version of Multilingual T5 Transformer}, publisher = {arXiv}, year = {2023} }